Literature DB >> 36091644

Lockdown-induced Urban Aerosol Change over Changchun, China During COVID-19 Outbreak with Polarization LiDAR.

Weiwei Chen1, Lingjian Duanmu1,2, Yang Qin3, Hongwu Yang4, Jing Fu1, Chengwei Lu5, Wei Feng6, Li Guo2.   

Abstract

Depending on various government policies, COVID-19 (Corona Virus Disease-19) lockdowns have had diverse impacts on global aerosol concentrations. In 2022, Changchun, a provincial capital city in Northeast China, suffered a severe COVID-19 outbreak and implemented a very strict lockdown that lasted for nearly two months. Using ground-based polarization Light Detection and Ranging (LiDAR), we detected real-time aerosol profile parameters (EC, extinction coefficient; DR, depolarization ratio; AOD, aerosol optical depth), as well as air-quality and meteorological indexes from 1 March to 30 April in 2021 and 2022 to quantify the effects of lockdown on aerosol concentrations. The period in 2022 was divided into three stages: pre-lockdown (1-10 March), strict lockdown (11 March to 10 April), and partial lockdown (11-30 April). The results showed that, during the strict lockdown period, compared with the pre-lockdown period, there were substantial reductions in aerosol parameters (EC and AOD), and this was consistent with the concentrations of the atmospheric pollutants PM2.5 (particulate matter with an aerodynamic diameter ≤ 2.5 µm) and PM10 (particulate matter with an aerodynamic diameter ≤ 10 µm), and the O3 concentration increased by 8.3%. During the strict lockdown, the values of EC within 0-1 km and AOD decreased by 16.0% and 11.2%, respectively, as compared to the corresponding period in 2021. Lockdown reduced the conventional and organized emissions of air pollutants, and it clearly delayed the time of seasonal emissions from agricultural burning; however, it did not decrease the number of farmland fire points. Considering meteorological factors and eliminating the influence of wind-blown dust events, the results showed that reductions from conventional organized emission sources during the strict lockdown contributed to a 30% air-quality improvement and a 22% reduction in near-surface extinction (0-2 km). Aerosols produced by urban epidemic prevention and disinfection can also be identified using the EC. Regarding seasonal sources of agricultural straw burning, the concentrated burning induced by the epidemic led to the occurrence of heavy pollution from increased amounts of atmospheric aerosols, with a contribution rate of 62%. These results indicate that there is great potential to further improve air quality in the local area, and suggest that the comprehensive use of straw accompanied by reasonable planned burning is the best way to achieve this. © Science Press, Northeast Institute of Geography and Agroecology, CAS and Springer-Verlag GmbH Germany, part of Springer Nature 2022.

Entities:  

Keywords:  COVID-19 (Corona Virus Disease-19) lockdown; NO2; O3; PM2.5 (particulate matter with an aerodynamic diameter ≤ 2.5 µm); aerosol optical depth (AOD); depolarization ratio; extinction coefficient

Year:  2022        PMID: 36091644      PMCID: PMC9446648          DOI: 10.1007/s11769-022-1303-3

Source DB:  PubMed          Journal:  Chin Geogr Sci        ISSN: 1002-0063            Impact factor:   3.101


  14 in total

1.  Analysis of atmospheric lidar observations: some comments.

Authors:  F G Fernald
Journal:  Appl Opt       Date:  1984-03-01       Impact factor: 1.980

2.  Characteristics of aerosol optical properties in pollution and Asian dust episodes over Beijing, China.

Authors:  Chenbo Xie; Tomoki Nishizawa; Nobuo Sugimoto; Ichiro Matsui; Zifa Wang
Journal:  Appl Opt       Date:  2008-09-20       Impact factor: 1.980

3.  Air pollution characteristics and their relation to meteorological conditions during 2014-2015 in major Chinese cities.

Authors:  Jianjun He; Sunling Gong; Ye Yu; Lijuan Yu; Lin Wu; Hongjun Mao; Congbo Song; Suping Zhao; Hongli Liu; Xiaoyu Li; Ruipeng Li
Journal:  Environ Pollut       Date:  2017-01-22       Impact factor: 8.071

4.  Local PM10 and PM2.5 emission inventories from agricultural tillage and harvest in northeastern China.

Authors:  Weiwei Chen; Daniel Q Tong; Shichun Zhang; Xuelei Zhang; Hongmei Zhao
Journal:  J Environ Sci (China)       Date:  2016-12-30       Impact factor: 5.565

5.  Changes in air quality during the lockdown in Barcelona (Spain) one month into the SARS-CoV-2 epidemic.

Authors:  Aurelio Tobías; Cristina Carnerero; Cristina Reche; Jordi Massagué; Marta Via; María Cruz Minguillón; Andrés Alastuey; Xavier Querol
Journal:  Sci Total Environ       Date:  2020-04-11       Impact factor: 7.963

6.  COVID-19 pandemic: Impacts on the air quality during the partial lockdown in São Paulo state, Brazil.

Authors:  Liane Yuri Kondo Nakada; Rodrigo Custodio Urban
Journal:  Sci Total Environ       Date:  2020-04-29       Impact factor: 7.963

7.  Air quality during three covid-19 lockdown phases: AQI, PM2.5 and NO2 assessment in cities with more than 1 million inhabitants.

Authors:  Abdelfettah Benchrif; Ali Wheida; Mounia Tahri; Ramiz M Shubbar; Biplab Biswas
Journal:  Sustain Cities Soc       Date:  2021-07-14       Impact factor: 7.587

8.  Air quality changes in New York City during the COVID-19 pandemic.

Authors:  Shelby Zangari; Dustin T Hill; Amanda T Charette; Jaime E Mirowsky
Journal:  Sci Total Environ       Date:  2020-06-25       Impact factor: 10.753

9.  Effect of restricted emissions during COVID-19 on air quality in India.

Authors:  Shubham Sharma; Mengyuan Zhang; Jingsi Gao; Hongliang Zhang; Sri Harsha Kota
Journal:  Sci Total Environ       Date:  2020-04-22       Impact factor: 7.963

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